model-context-protocol

Name: model-context-protocol
Author: PyBhagya

@PyBhagya

model-context-protocol について

A custom server project built using the Model Context Protocol (MCP) in Python. This repository documents my learning, experiments, and development progress.

#model-context-protocol #ai #note-taking

基本情報

カテゴリ

その他

ライセンス

Unlicense

ランタイム

python

トランスポート

stdio

公開者

PyBhagya

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "model-context-protocol-pybhagya": {
      "command": "python",
      "args": [
        "main.py"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is model-context-protocol?

model-context-protocol is a Python MCP server that implements a simple AI Sticky Notes application. It demonstrates core Model Context Protocol concepts by providing tools, resources, and prompts for note management and AI summarization. It is intended for developers learning MCP or building note‑taking integrations with LLMs.

How to use model-context-protocol?

Run python main.py from the project root to start the server. The server exposes endpoints for adding notes (add_note tool), reading all notes (read_notes tool), accessing the latest note (notes://latest resource), and generating a prompt for note summarization (note_summary_prompt prompt). No additional configuration is required.

Key features of model-context-protocol

Persistent note storage using a file‑based backend
Add and retrieve notes via MCP tool endpoints
Resource endpoint for the most recent note
Prompt template for AI summarization of all notes
Built on the FastMCP server framework in Python

Use cases of model-context-protocol

Learning how to structure an MCP server with tools, resources, and prompts
Building a simple note‑taking API that can be consumed by AI models
Prototyping a backend for an AI‑assisted sticky notes application
Extending the server with new functionality like editing or deletion

FAQ from model-context-protocol

What does model-context-protocol do?

It is a demonstration MCP server that manages sticky notes (add, read, get latest) and provides a prompt to ask an AI to summarize them.

How do I run model-context-protocol?

Run python main.py in the project directory. The server will start using the FastMCP framework.

What dependencies are required?

The README only specifies Python and the MCP framework (FastMCP). Other dependencies are not listed.

What transport protocol does the server use?

The README does not specify the transport (e.g., stdio or HTTP). The default FastMCP transport is likely used but not documented here.

Can I use model-context-protocol with any LLM?

Yes, the server is designed to be connected to LLMs via MCP. The note_summary_prompt generates a prompt that can be sent to any compatible AI.

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